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Speech and Audio

Image of Shumin Que. Close-up portrait of a person with long dark hair, raising one hand in a wave while standing indoors. The setting includes large green houseplants, wooden furniture, and a window allowing natural light, creating a bright and relaxed atmosphere.

Shumin Que

Shumin is part of Cohort 1 at the University of Sheffield.

Image of Jack Hallybone. Close-up portrait of a person wearing a brown knitted sweater, facing slightly to one side. The indoor background is softly blurred, featuring warm, circular lights and glass panels, suggesting a relaxed social or communal environment.

Jack Hallybone

Jack is part of Cohort 1 at the University of Southampton.

GRAS KEMAR Head and Torso Simulator designed for advanced acoustic testing in the Acoustics Lab, University of Salford

Personalised Auditory and Listener Preference Modelling for Headphone Audio Optimisation

Project outline This project aims to create a new generation of personalised headphone audio technology that adapts intelligently to an individual’s unique hearing profile and listener preferences. All users, whether they have hearing loss or not, want an effortless, high-fidelity listening experience. Project Partners You will be working closely with Sonos and using the latest […]

An acoustics research experiment is set up in a laboratory containing sound-absorbing wall panels. A person stands beside a microphone mounted on a stand and a test panel made of acoustic material. Additional specialised equipment, including a head-shaped acoustic measurement device, is visible on a table in the background. The scene shows a controlled environment for studying sound transmission, recording or acoustic performance.

Communication and Listening Effort for Blind and Partially Sighted People

Project outline Blind and partially sighted people are heavily reliant on gathering information via aural means. However, having reduced visual input increases listening effort. You will either investigate the cocktail party effect for people with sight loss or reducing listening effort for screen readers at high word rates.  Project Partners This project is based at the University of Salford with funding from the Royal National Institute […]

Cohort 1 of the EPSRC Sustainable Sound Futures CDT gathered for a group photo indoors around a large anatomical ear model used for sound and hearing research.

Physics-informed Machine Learning for Acoustic Simulations

Project outline Numerical methods for acoustic simulations are well established, but scale poorly to high frequencies and large domains. Important applications include simulation of outdoor noise propagation and room acoustics. Physics-informed machine learning is a new and rapidly developing field that has shown promising early results in other physical sciences, and offers significant potential for […]

Cohort 1 of the EPSRC Sustainable Sound Futures CDT gathered for a group photo indoors around a large anatomical ear model used for sound and hearing research.

Using Real-time Acoustic Resynthesis in Virtual Reality to Assess Conversational Behaviour and User Preference for Hearing Aid Users

Project outline Evaluating the effectiveness of hearing aid algorithms can be a challenging task as evaluating different environments and conversational scenarios involves a large amount of preparation and effort on the behalf of both researchers and their participants. Using virtual reality, we intend to produce a synthetic environment that allows for a balance between reproducibility […]

Cohort 1 of the EPSRC Sustainable Sound Futures CDT gathered for a group photo indoors around a large anatomical ear model used for sound and hearing research.

Sound Analysis for Predicting Category 1 Ambulance Calls

Project outline This project is a strategic collaboration with the Yorkshire Ambulance Service (YAS) aimed at enhancing the speed and accuracy of emergency call prioritization. The core objective is to develop and validate advanced deep learning models capable of analyzing the acoustic properties of emergency calls in real-time. A significant challenge in emergency dispatch is the rapid […]